SPIDer: Saccharomyces protein-protein interaction database

Background: Since proteins perform their functions by interacting with one another and with other biomolecules, reconstructing a map of the protein-protein interactions of a cell, experimentally or computationally, is an important first step toward understanding cellular function and machinery of a proteome. Solely derived from the Gene Ontology (GO), we have defined an effective method of reconstructing a yeast protein interaction network by measuring relative specificity similarity (RSS) between two GO terms. Description: Based on the RSS method, here, we introduce a predicted Saccharomyces proteinprotein interaction database called SPIDer. It houses a gold standard positive dataset (GSP) with high confidence level that covered 79.2% of the high-quality interaction dataset. Our predicted protein-protein interaction network reconstructed from the GSPs consists of 92 257 interactions among 3600 proteins, and forms 23 connected components. It also provides general links to connect pred...

• Type: Journal
• Year: 2006
• Where: BMCBI
• Authors: Xiaomei Wu, Lei Zhu, Jie Guo, Cong Fu, Hongjun Zhou, Dong Dong, Zhenbo Li, Da-Yong Zhang, Kui Lin
• Keywords: BMCBI 2006, Interaction Network, Protein, Protein-protein Interactions